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#ifndef _CUCACHE_H_
#define _CUCACHE_H_
#include "Matrix.h"
namespace TNet {
/**
* The feature-target pair cache
*/
class Cache {
typedef enum { EMPTY, INTAKE, FULL, EXHAUST } State;
public:
Cache();
~Cache();
/// Initialize the cache
void Init(size_t cachesize, size_t bunchsize, long int seed = 0);
/// Add data to cache, returns number of added vectors
void AddData(const Matrix<BaseFloat>& rFeatures, const Matrix<BaseFloat>& rDesired);
/// Randomizes the cache
void Randomize();
/// Get the bunch of training data
void GetBunch(Matrix<BaseFloat>& rFeatures, Matrix<BaseFloat>& rDesired);
/// Returns true if the cache was completely filled
bool Full()
{ return (mState == FULL); }
/// Returns true if the cache is empty
bool Empty()
{ return (mState == EMPTY || mIntakePos < mBunchsize); }
/// Number of discarded frames
int Discarded()
{ return mDiscarded; }
/// Set the trace message level
void Trace(int trace)
{ mTrace = trace; }
private:
static long int GenerateRandom(int max)
{ return lrand48() % max; }
State mState; ///< Current state of the cache
size_t mIntakePos; ///< Number of intaken vectors by AddData
size_t mExhaustPos; ///< Number of exhausted vectors by GetBunch
size_t mCachesize; ///< Size of cache
size_t mBunchsize; ///< Size of bunch
int mDiscarded; ///< Number of discarded frames
Matrix<BaseFloat> mFeatures; ///< Feature cache
Matrix<BaseFloat> mFeaturesRandom; ///< Feature cache
Matrix<BaseFloat> mFeaturesLeftover; ///< Feature cache
Matrix<BaseFloat> mDesired; ///< Desired vector cache
Matrix<BaseFloat> mDesiredRandom; ///< Desired vector cache
Matrix<BaseFloat> mDesiredLeftover; ///< Desired vector cache
bool mRandomized;
int mTrace;
};
}
#endif
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